Olive Franzese

Postdoctoral Fellow

Email

Papers

1. Secure Noise Sampling for Differentially Private Collaborative Learning
   Olive Franzese, Congyu Fang, Radhika, Xiao Wang, Somesh Jha, Nicolas Papernot, Adam Dziedzic
   In Proceedings of the 32nd ACM Conference on Computer and Communications Security

   BibTeX

   @inproceedings{olive2025secureconference,
     author = {Franzese, Olive and Fang, Congyu and Radhika and Wang, Xiao and Jha, Somesh and Papernot, Nicolas and Dziedzic, Adam},
     booktitle = {Proceedings of the 32nd ACM Conference on Computer and Communications Security},
     title = {Secure Noise Sampling for Differentially Private Collaborative Learning},
     year = {2025}
   }
   

2. Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
   Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot
   In Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada

   BibTeX

   @inproceedings{stephan2025confidentialconference,
     author = {Rabanser, Stephan and Shamsabadi, Ali Shahin and Franzese, Olive and Wang, Xiao and Weller, Adrian and Papernot, Nicolas},
     booktitle = {Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada},
     title = {Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention},
     year = {2025}
   }
   

3. Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
   Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller
   In Proceedings of the 11th International Conference on Learning Representations

   Paper BibTeX

   @inproceedings{ali2023confidentialprofittoral,
     author = {Shamsabadi, Ali Shahin and Wyllie, Sierra Calanda and Franzese, Nicholas and Dullerud, Natalie and Gambs, Sébastien and Papernot, Nicolas and Wang, Xiao and Weller, Adrian},
     booktitle = {Proceedings of the 11th International Conference on Learning Representations},
     title = {Confidential-PROFITT: Confidential PROof of FaIr Training of Trees},
     year = {2023}
   }
   

4. Robust and Actively Secure Serverless Collaborative Learning
   Olive Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R. Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang
   In Proceedings of the 37th Conference on Neural Information Processing Systems

   Paper BibTeX

   @inproceedings{olive2023robustconference,
     author = {Franzese, Olive and Dziedzic, Adam and Choquette-Choo, Christopher A. and Thomas, Mark R. and Kaleem, Muhammad Ahmad and Rabanser, Stephan and Fang, Congyu and Jha, Somesh and Papernot, Nicolas and Wang, Xiao},
     booktitle = {Proceedings of the 37th Conference on Neural Information Processing Systems},
     title = {Robust and Actively Secure Serverless Collaborative Learning},
     year = {2023}
   }